Artificial Intelligence Data Analysis Python DataLab

Analyzing Ultrasound Data With Hugging Face

Tanya Akumu demonstrates how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case.

Tanya Akumu

2025年7月2日

無料アカウントを作成する

練習とトラックであなたの進捗を記録しましょう。

Googleで登録続行すると、次に同意したものとみなされます：利用規約、プライバシーポリシー、およびデータが米国内に保管されることに同意したものとみなされます。

一緒にコーディング：

コードアロング ↗

Medical imaging data, like ultrasounds, holds immense potential for improving patient outcomes—especially when combined with the power of AI. With tools from Hugging Face, data scientists and AI researchers can now apply state-of-the-art image analysis models to extract insights from complex visual data. This session provides a practical walkthrough for getting started with AI-powered image analysis, focused on real-world healthcare applications.

In this hands-on code-along webinar, Tanya Akumu, an AI Researcher at University of Barcelona, demonstrates how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case focused on improving fetal health outcomes. This session is ideal for data scientists and AI researchers looking to apply their skills to impactful, healthcare-focused projects.

Key Takeaways:

Learn how to use Hugging Face tools for image analysis.
Understand how to apply AI to ultrasound and other medical image data.
Explore a real-world use case focused on improving fetal health outcomes through AI analysis.